Prescient AI Unveils Forecasting and Optimisation Model
Prescient AI’s proprietary model introduces a new approach to decision intelligence, offering measurement and forecasting capabilities that go beyond what current media measurement tools provide.
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Prescient AI has released a new forecasting and optimisation model built from the ground up to replace failing measurement frameworks that can’t keep pace with today’s high-stakes marketing environments.
Prescient’s proprietary model introduces a new approach to decision intelligence, offering measurement and forecasting capabilities that go beyond what current media measurement tools provide.
“With 15 years of MMM experience, I know the difference between an incremental improvement and true innovation,” said David Baker, Chief Digital Officer at Beekman 1802. “Prescient’s model sets a new benchmark for insight and forecasting accuracy.”
All MMM platforms are anchored on decades-old regression modelling–or open-source models that have been modernised by big tech, yet still rely on the same outdated mathematical foundations.
Reinventing the methodology to mirror how marketing interacts with the real world, Prescient combines statistical modelling and machine learning technology to solve for the complexity, speed, and ambiguity of today’s media landscape.
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“When we started Prescient AI, we put every available open-source model to the test,” said Cody Greco, CTO and Co-Founder of Prescient AI.
“We quickly realised that building on old technology would limit our ability to deliver the kind of transformative solution we envisioned—something that could genuinely improve how our customers operate, decide, and grow. So we made a tough call. We started over.”
“Optimising paid media with incomplete data is like flying blind,” said Connor Rolain, Head of Growth at HexClad. “Prescient gives us a complete, daily-updating picture of what drives sales across our ecommerce store and Amazon. This next evolution of the model lets us do the same for retail—and that’s a game-changer.”
Key Features:
- Retail Attribution: Omnichannel brands get a unified view of media impact across DTC, wholesale, retail stores, Amazon, and other key revenue streams. In one platform, marketers can see how paid media channels and campaigns influence each other, pinpoint the sales channels where that impact becomes revenue, and get spend allocation recommendations based on forecasted performance in different scenarios.
- Agnostic Data Ingestion: Brands can incorporate their own measurement data—from incrementality testing, multi-touch attribution (MTA), MMM platforms, post-purchase surveys, and other trusted sources—into the Prescient AI platform. With transparency across all forms of measurement, marketers can determine the validity of disparate measurement data and are in control of which methods inform the model.
While there are many measurement providers and several ad platforms that have recently bolted MMM onto their core offerings, there is an inherent risk in getting MMM insights from the same vendors that provide multi-touch attribution and incrementality testing, or sell the actual ads.
Prescient AI is a platform that will incorporate data from any source to provide unbiased validation, analysis, forecasting and recommendations for what to do next.
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